Advancements in microsurgery: A comprehensive systematic review of artificial intelligence applications.

Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and discern patterns without direct instruction. This review explores cutting-edge developments in microsurgery through the lens of AI applications. By analyzing a wide range of studies, this paper highlights AI's transformative role in enhancing microsurgical techniques and decision-making processes.

Genotype-phenotype associations in individuals with Diamond Blackfan anaemia.

Introduction: Diamond Blackfan anaemia (DBA) is a rare disorder characterized by failure of red blood cell production, congenital abnormalities and cancer predisposition, primarily caused by pathogenic germline variants in genes encoding ribosomal proteins.

Methods: We conducted a genotype-phenotype and outcome study of 121 patients with DBA spanning the 20-year history of the National Cancer Institute's Inherited Bone Marrow Failure Syndromes study. Patient phenotypes were compared by large versus small ribosomal protein genes, across genes with >5 cases (, , and ) and by type of pathogenic variants (hypomorphic versus null, large deletions versus others).

"Crying in the Wilderness"-The Use of Web-Based Support in Telomere Biology Disorders: Thematic Analysis.

Background: Web-based information and social support are commonly used in rare disease communities where geographic dispersion and limited provider expertise complicate in-person support. We examined web-based resource use among caregivers of individuals with telomere biology disorders (TBDs), which are rare genetic conditions with long diagnostic odysseys and uncertain prognoses including multiorgan system cancer risk.

Objective: This study explored internet-based information-seeking and social support practices and perspectives of patients with TBDs and their caregivers.

A multidisciplinary weight management intervention for adults with severe mental illness in forensic psychiatric inpatient services (Motiv8): a single blind cluster-randomised wait-list controlled feasibility trial.

Background: People with severe mental illness experience physical health inequalities and a 15-20-year premature mortality rate. Forensic inpatients are particularly affected by restrictions on movement, long admissions, and obesogenic/sedative psychotropic medication. We aimed to establish the feasibility and acceptability of Motiv8, a multidisciplinary weight management intervention co-produced with service users for forensic inpatients.